final_df %>%
filter(position == "medial") %>%
ggplot(aes(c_type, closdur, fill = Language, label = stop_label))+
geom_text(aes(y = 430), alpha = 0.1)+
geom_boxplot()+
theme_bw()+
theme(legend.position="bottom")+
facet_grid(Gender~affric+poa, scale = "free_x")+
labs(y = "CD (ms)", x = "")
final_df %>%
filter(position == "medial") %>%
ggplot(aes(c_type, VOT, fill = Language, label = stop_label))+
geom_boxplot()+
geom_text(aes(y = 430), alpha = 0.1)+
theme_bw()+
theme(legend.position="bottom")+
geom_hline(yintercept = 30, lty = 2)+
geom_hline(yintercept = 160, lty = 2)+
facet_grid(Gender~affric+poa, scale = "free_x")+
labs(y = "VOT (ms)", x = "")
final_df %>%
filter(position == "medial") %>%
ggplot(aes(closdur, VOT, color = Language, label = stop))+
geom_text()+
theme_bw()+
theme(legend.position="bottom")+
geom_hline(yintercept = 30, lty = 2)+
geom_hline(yintercept = 160, lty = 2)+
stat_ellipse(aes(group = Language), color = "black")+
facet_grid(Gender~affric+poa, scale = "free_x")+
labs(y = "VOT (ms)", x = "CD (ms)")
final_df %>%
filter(position == "medial") %>%
mutate(rel_cd = closdur/totdur/1000,
rel_vot = VOT/totdur/1000) %>%
ggplot(aes(c_type, rel_cd, fill = Language, label = stop))+
geom_text(aes(y = 1.2), alpha = 0.1)+
geom_boxplot()+
theme_bw()+
theme(legend.position="bottom")+
facet_grid(Gender~affric+poa, scale = "free_x")+
labs(y = "relative value CD", x = "")
final_df %>%
filter(position == "medial") %>%
mutate(rel_cd = closdur/totdur/1000,
rel_vot = VOT/totdur/1000) %>%
ggplot(aes(c_type, rel_vot, fill = Language, label = stop))+
geom_text(aes(y = 1.2), alpha = 0.1)+
geom_boxplot()+
theme_bw()+
theme(legend.position="bottom")+
facet_grid(Gender~affric+poa, scale = "free_x")+
labs(y = "relative value VOT", x = "")
final_df %>%
filter(position == "medial") %>%
mutate(rel_cd = closdur/folVowDur,
rel_vot = VOT/folVowDur) %>%
ggplot(aes(c_type, rel_cd, fill = Language, label = stop))+
geom_text(aes(y = 5), alpha = 0.1)+
geom_boxplot()+
theme_bw()+
theme(legend.position="bottom")+
facet_grid(Gender~affric+poa, scale = "free_x")+
labs(y = "relative value CD", x = "")
final_df %>%
filter(position == "medial") %>%
mutate(rel_cd = closdur/folVowDur,
rel_vot = VOT/folVowDur) %>%
ggplot(aes(c_type, rel_vot, fill = Language, label = stop))+
geom_text(aes(y = 5), alpha = 0.1)+
geom_boxplot()+
theme_bw()+
theme(legend.position="bottom")+
facet_grid(Gender~affric+poa, scale = "free_x")+
labs(y = "relative value VOT", x = "")
I don’t have such information… I need Sven ещ add it to the script. And idially both to the i and to the j version.